Removal of Adherent Noises from Image Sequences by Spatio-Temporal Image Processing

In this paper, we propose a noise removal method from image sequence acquired with a pan-tilt camera. We makes a spatio-temporal image to extract the regions of adherent noises by examining differences of track slopes in cross section images between adherent noises and other objects. Regions of adherent noises are interpolated from the spatio-temporal image data. Experimental results show the effectiveness of our method. As future works, the quality of the final result will be improved for interpolating noise regions in S (u , v, t ) space. As to the camera motion, a camera translation should be considered in addition to a camera rotation (Haga et al., 1997). It is important to compare the performance of our method with recent space-time video completion methods (e.g., Matsushita et al., 2005, Shen et al., 2006, Wexler et al., 2007).